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artur.sniegowski
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# 01_Analysing_Salaries_of_Graduates_by_Major
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Basic operations using the Pandas library for data exploration. As an example, data from salaries_by_college_major.csv was
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used and explored with Python Library Pandas. In order to have a better understanding and manipulation of data, the Jupyter Notebook was used, which is an interactive computing platform.
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In this example, the salaries of post-university graduates by major are being analised.
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---
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Useful Links:
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Pandas </br>
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https://pandas.pydata.org/pandas-docs/stable/index.html </br>
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Jupyter Notebook</br>
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https://jupyter.org/</br>
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---
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The necessary steps to make the program work:</br>
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1. Install the required libraries from the requirements.txt using the following command: </br>
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*pip install -r requirements.txt*</br>
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2. Explore data in the main.ipynb where Python code can be run in blocks.</br>
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---
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**Example view:**</br>
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<a href="main.ipynb - Colaboratory.pdf">see the pdf main.ipynb - Colaboratory.pdf</a>
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***End result:***
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</br>
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![Screenshot](docs/img/results.png)</br>
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---
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**The program was developed using python 3.10.8, Pandas 1.5.1, Jupyter-Notebook**
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In order to run the program, open main.main.ipynb and install the required add-ons.
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